Business Case 2: Data Understanding and Data Preparation

Contents:

Imports

Data Understanding

After Business Understanding, our goal is to start to be familiar with the data. Here, it's possible to understand some possible patterns, first insights that could be useful for the next phases. We also visualize the target proportion in some variables.

First Visualizations

Final Conclusions:

Data Preparation

The Data Preparation phase includes all of the tasks to prepare the dataset that are going to be applied in the next step. Some of the tasks are: outliers' removal, variables' scaling, missing values' imputation and feature engineering

Duplicated entries

Missing values

Outliers' Removal

Feature Engineering

Scaling and Encoding

Final Dataset